Instructions to use Nsohko/github with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Nsohko/github with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Nsohko/github")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Nsohko/github") model = AutoModelForSpeechSeq2Seq.from_pretrained("Nsohko/github") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 132f4109967a42b456c29b32da412fe841bfbc6bf4ba48c6f3d4fef639c06a01
- Size of remote file:
- 5.05 kB
- SHA256:
- c79e6a4bae6e324358a8c7c301ca4e17e5779a983f0df6ceb1c4ea23b4420fc8
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